Consensus statement of the ESICM task force on colloid volume therapy in critically ill patients: authors’ reply to comments by Zacharowski et al.

2012 ◽  
Vol 38 (9) ◽  
pp. 1558-1559
Author(s):  
Konrad Reinhart ◽  
Anders Perner ◽  
Charles L. Sprung ◽  
Roman Jaeschke ◽  
Frederique Schortgen ◽  
...  
2012 ◽  
Vol 38 (9) ◽  
pp. 1556-1557 ◽  
Author(s):  
Kai Zacharowski ◽  
H. Van Aken ◽  
Gernot Marx ◽  
Matthias Jacob ◽  
Walter Schaffartzik ◽  
...  

2012 ◽  
Vol 38 (3) ◽  
pp. 368-383 ◽  
Author(s):  
Konrad Reinhart ◽  
Anders Perner ◽  
Charles L. Sprung ◽  
Roman Jaeschke ◽  
Frederique Schortgen ◽  
...  

2013 ◽  
Vol 39 (8) ◽  
pp. 1337-1351 ◽  
Author(s):  
Jan Claassen ◽  
Fabio S. Taccone ◽  
Peter Horn ◽  
Martin Holtkamp ◽  
Nino Stocchetti ◽  
...  

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S448-S448
Author(s):  
Gowrishankar Gnanasekaran ◽  
Eduardo Mireles-Cabodevila

Abstract Programs like orthogeriatrics, geriatric cardiology have shown to improve outcomes in hospitalized geriatric patients. Our Geriatrics MICU Co-management program is a quality improvement initiative that instigates a partnership approach with critical care medicine in integrating geriatric assessments and build foundation for interdisciplinary care of critically ill patients. MICU (Medical Intensive Care Unit) protocols do not have standard geriatrics assessments integrated in clinical care. An electronic dash-board identifies high risk elderly (HRE) patients admitted at a MICU in a large teaching hospital in Northeast Ohio based on nursing specific screening triggers. A geriatrics co-management team engages in a comprehensive geriatric assessments and care transition. 386 patient were identified using HRE screening triggers in a period of 100 days. 33 % (n=131) were generated as consults for co-management. A pilot review on 131 HRE patients was conducted. 70% (n=93) patients had incident frailty. 93% (n=87) of patients with frailty were diagnosed with incident delirium. 56% (n=74) of patients were newly diagnosed with cognitive impairment. 56 % (N=74) of patients had a medication reduction. An average of 1.23 medication was changed. 85% (n =112) of patients had a warm hand off to the next level of provider on discharge. 90% (n=119) of patients notified improved self-management skills and better understanding of discharge process. The Geri-MICU program demonstrates a patient -centered approach in integrating geriatric assessments for critically ill patients and build foundation of a geriatrics-critical care task force. The program would be a mile stone in optimizing elderly care in critical care units.


Author(s):  
J Ghossein ◽  
F Alnaji ◽  
D Pohl

Background: Non-convulsive seizures are common in critically ill patients and are best detected by continuous EEG (cEEG) monitoring. A recent consensus statement from the American Clinical Neurophysiology Society (ACNS) outlines the indications for EEG monitoring in critically ill patients. Our aim was to assess adherence to these indications, barriers to cEEG utilization as well as to optimize cEEG monitoring in critically ill children. Methods: We conducted a retrospective review of electronic medical records, analyzing patients admitted to the PICU from January 1st until June 23rd 2018, followed by an 8-week mentorship period, consisting of educational interventions as well as daily patient rounds to help identify patients meeting cEEG monitoring criteria. Results: Prevalence of patients meeting cEEG monitoring indications were similar in both the retrospective and mentorship period (18% vs. 23%). During the retrospective period, 23% of patients received cEEG monitoring, reaching 100% at the end of the mentorship period. The median delay for initiation of monitoring was 17 hours, largely due to restrictions in the availability of technologists. All cEEGs performed informed anti-convulsive management. Conclusions: An educational intervention was effective in increasing PICU cEEG monitoring. However, limited hours of technologist availability represented the largest barrier to timely cEEG monitoring.


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